))
Aid and Algorithms: Demystifying LLMs
Manage episode 468333130 series 3625878
Chris Hoffman and Nasim Motalebi, Chris Hoffman, and Nasim Motalebi에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Chris Hoffman and Nasim Motalebi, Chris Hoffman, and Nasim Motalebi 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
What does it actually take to use LLMs? We may see the prompt center and receive a beautiful answer or use a WhatsApp chatbot and have an informative conversation, but the reality is that there’s a lot that goes on in the background. There are also a lot of things that NGOs will need to consider as they move forward in a changing world. AWS AI specialist David Master and Tech Tavern founder Scott Turnbull join this conversation to discuss how evolving technology and AI are influencing the non-profit space today. We discuss responsible use, donor responses to AI needs, and how new technological solutions are influencing HR and education in the workplace. Touching on the impact of AI on environmental research and addressing misconceptions about the impact of AI, we discuss the efficiency and complexity of AI today. If there’s one key takeaway from this conversation, it is to understand that AI is an enabler, rather than a threat to employment or efficiency. Tune in as we explore AI’s potential to change lives!
Key Points From This Episode:
- What large language models (LLMs) are and how to use them.
- Understanding machine learning (ML) and its uses.
- Where NGOs should begin to leverage AI and ML to meet humanitarian crises.
- Allocating financial and human resources to maximize these tools.
- How donors are responding to new tech tools with safety in mind.
- Assessing whether reticence towards AI interaction with users is warranted.
- Using AI to mitigate risk and understanding the risk of failing to act.
- HR and educational resources that AI can provide.
- How AI data sets are supporting environmental advocacy.
- Misconceptions about artificial intelligence in the non-profit space.
- The efficiency and complexity that AI is creating today.
- Sustaining AI beyond quick fixes with data, value-add insights, and lighter models.
- Customer concerns and why many of them stem from a lack of understanding.
- Low-hanging fruit and long-term gain in the context of leveraging AI.
- Extracting meaningful data from AI in the context of humanitarian response.
Links Mentioned in Today’s Episode:
Nasim Motalebi
Nasim Motalebi on LinkedIn
Chris Hoffman on LinkedIn
9 에피소드
공유
